This peer assessed assignment has two parts. First, you will create a Shiny application and deploy it on Rstudio's servers. Second, you will use Slidify or Rstudio Presenter to prepare a reproducible pitch presentation about your application.
20 augustus 2017
This peer assessed assignment has two parts. First, you will create a Shiny application and deploy it on Rstudio's servers. Second, you will use Slidify or Rstudio Presenter to prepare a reproducible pitch presentation about your application.
This application uses diamonds data from ggplot2 and has the function to predict the price of a diamond depending of its properties.
carat cut color price
Min. :0.2000 Fair : 1610 D: 6775 Min. : 326
1st Qu.:0.4000 Good : 4906 E: 9797 1st Qu.: 950
Median :0.7000 Very Good:12082 F: 9542 Median : 2401
Mean :0.7979 Premium :13791 G:11292 Mean : 3933
3rd Qu.:1.0400 Ideal :21551 H: 8304 3rd Qu.: 5324
Max. :5.0100 I: 5422 Max. :18823
J: 2808
You can select specific features of the diamond (carat, cut, color). The model will predict the price of the diamond based on the according features.
Below the link for application:[APP Link] (https://derekgeng.shinyapps.io/shinyapp/)
ui.Rserver.RBoth files can be found here: GitHub repo